variogram based on supplied residuals from both an observed data set
and simulated data sets. Those from simulated data sets are used to
produce confidence envelopes If the data consists of sections, such as separate
experiments, the two variogram faces are produced for each section. This
function is less efficient in storage terms than variofaces.asreml,
because here the residuals from all simulated data sets must be saved, in
addition to the values for the variogram faces; in
variofaces.asreml, the residuals for each simulated data set are
discarded after the variogram has been calculated. On the other hand, the
present function is more flexible, because there is no restriction on how the
residuals are obtained.plotvariofaces.asreml(data, residuals, restype="Residuals", ...)data.frame with either 3 or 4 columns. Only if there are 4 columns, the
first should be a factor indexing sections for which separate variogram plots are
to be produced. In either case, the other 3 columns should be, in order,
(i) a factor indexing the x-direction, (ii) a factor indexing the y-direction,
and (iii) the residuals for the observed response.data.frame, with with either 2 or 3 initial columns followed by
columns, each of which are the residuals from a simulated
data set.character describing the type of residuals that have been supplied.
It will be used in the plot titles.asreml.variogram.list with the following components:
data.frame containing the variogram values on
which the plot for the first dimension is based.
data.frame containing the variogram values on
which the plot for the second dimension is based.asreml.variogram is used to obtain the empirical
variogram, from which the values for its faces are obtained. Plots are produced for
each face and include the observed residuals and the 2.5%, 50% & 97.5% quantiles.asremlPlus-package, asreml, asreml.variogram,
variofaces.asreml, simulate.asreml.